World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
9202
World Ranking
6185
National Ranking
2773

Overview

Weiyi Meng is affiliated with Binghamton University in the United States and has contributed extensively to the field of Computer Science, with a total of 27 publications. Their research primarily spans several subfields, including Artificial Intelligence, Information Systems, Computer Networks and Communications, Management Science and Operations Research, and Signal Processing.

The main topics covered in Weiyi Meng's research include:

  • Web Data Mining and Analysis
  • Topic Modeling
  • Sentiment Analysis and Opinion Mining
  • Advanced Database Systems and Queries
  • Data Quality and Management
  • Data Management and Algorithms
  • Spam and Phishing Detection

Among recent publications authored or co-authored by Weiyi Meng are the following:

  • Segmentation of Tweets with URLs and its Applications to Sentiment Analysis, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • TwiCS: Lightweight Entity Mention Detection in Targeted Twitter Streams, 2021, IEEE Transactions on Knowledge and Data Engineering
  • Web Record Extraction with Invariants, 2022, Proceedings of the VLDB Endowment
  • Boosting Entity Mention Detection for Targetted Twitter Streams with Global Contextual Embeddings, 2022, 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • Joint user mention behavior modeling for mentionee recommendation, 2020, Applied Intelligence

Frequent collaborators in Weiyi Meng's work include Eduard Dragut, Satadisha Saha Bhowmick, Liang Zhu, Qin Ma, and Abdullah Aljebreen.

The venues where Weiyi Meng has most often published include:

  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Transactions on Knowledge and Data Engineering
  • Proceedings of the VLDB Endowment
  • Applied Intelligence

Best Publications

  • Personalized Web search for improving retrieval effectiveness

    Fang Liu;C. Yu;Weiyi Meng

  • Building efficient and effective metasearch engines

    Weiyi Meng;Clement Yu;King-Lup Liu

  • Effective keyword search in relational databases

    Fang Liu;Clement Yu;Weiyi Meng;Abdur Chowdhury

  • Fully automatic wrapper generation for search engines

    Hongkun Zhao;Weiyi Meng;Zonghuan Wu;Vijay Raghavan

  • ViDE: A Vision-Based Approach for Deep Web Data Extraction

    Wei Liu;Xiaofeng Meng;Weiyi Meng

  • An interactive clustering-based approach to integrating source query interfaces on the deep Web

    Wensheng Wu;Clement Yu;AnHai Doan;Weiyi Meng

  • Personalized web search by mapping user queries to categories

    Fang Liu;Clement Yu;Weiyi Meng

  • An effective approach to document retrieval via utilizing WordNet and recognizing phrases

    Shuang Liu;Fang Liu;Clement Yu;Weiyi Meng

  • Truth finding on the deep web: is the problem solved?

    Xian Li;Xin Luna Dong;Kenneth Lyons;Weiyi Meng

  • Principles of Database Query Processing for Advanced Applications

    Clement T. Yu;Weiyi Meng

  • The effect of negation on sentiment analysis and retrieval effectiveness

    Lifeng Jia;Clement Yu;Weiyi Meng

  • Opinion retrieval from blogs

    Wei Zhang;Clement Yu;Weiyi Meng

  • Wise-integrator: an automatic integrator of web search interfaces for E-commerce

    Hai He;Weiyi Meng;Clement Yu;Zonghuan Wu

  • Automatic integration of Web search interfaces with WISE-Integrator

    Hai He;Weiyi Meng;Clement Yu;Zonghuan Wu

  • Using the structure of HTML documents to improve retrieval

    Michal Cutler;Yungming Shih;Weiyi Meng

  • Vision-based Web Data Records Extraction

    Wei Liu;Xiaofeng Meng;Weiyi Meng

  • Annotating Structured Data of the Deep Web

    Yiyao Lu;Hai He;Hongkun Zhao;Weiyi Meng

  • Determining Text Databases to Search in the Internet

    Weiyi Meng;King-Lup Liu;Clement T. Yu;Xiaodong Wang

  • Word sense disambiguation in queries

    Shuang Liu;Clement Yu;Weiyi Meng

  • Automatic extraction of dynamic record sections from search engine result pages

    Hongkun Zhao;Weiyi Meng;Clement Yu

Frequent Co-Authors

Clement Yu
Clement Yu University of Illinois at Chicago
Vijay V. Raghavan
Vijay V. Raghavan University of Louisiana at Lafayette
Xiaofeng Meng
Xiaofeng Meng Renmin University of China
Divesh Srivastava
Divesh Srivastava AT&T (United States)
Xin Luna Dong
Xin Luna Dong Facebook (United States)
Philip S. Yu
Philip S. Yu University of Illinois at Chicago
AnHai Doan
AnHai Doan University of Wisconsin–Madison
Bing Liu
Bing Liu University of Illinois at Chicago
Nikolaos G. Bourbakis
Nikolaos G. Bourbakis Wright State University
Richard T. Snodgrass
Richard T. Snodgrass University of Arizona

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